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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI.

Yunrui Zhang1, Emily S Finn2, Mert R Sabuncu1,3,4

  • 1School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.

Communications Biology
|June 9, 2026
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Summary

Movie-watching functional connectivity (FC) predicts cognitive scores better than resting-state FC. Higher brain synchrony and specific movie content enhance cognitive prediction, revealing neural underpinnings of behavior.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Machine Learning

Background:

  • Resting-state functional connectivity (FC) is commonly used for brain-behavior mapping but has limitations.
  • Movie-watching FC shows potential to outperform resting-state FC.

Purpose of the Study:

  • To develop a deep neural network framework for predicting cognitive scores and sex from movie-watching FC.
  • To investigate the influence of movie content and inter-subject brain synchrony on prediction accuracy.

Main Methods:

  • A novel deep neural network framework was employed.
  • Static and sliding-window dynamic FC approaches were utilized during naturalistic movie viewing.
  • Brain activity synchronization and movie content (faces, voices) were analyzed.

Main Results:

  • Movie-watching FC outperformed resting-state FC, even with less data.
  • Sensory and higher-order brain networks were crucial for prediction.
  • Higher cognitive prediction accuracy correlated with increased inter-subject synchrony and duration of faces/voices in movies.
  • These correlations were specific to cognitive prediction, not sex prediction.

Conclusions:

  • Naturalistic movie viewing is a powerful tool for brain-behavior mapping.
  • Movie-watching FC reveals neural underpinnings of individual differences in cognition.
  • Inter-subject synchrony and specific movie content modulate predictive power for cognitive traits.